/*
 * Copyright (c) 2019 The StreamX Project
 * <p>
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements. See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership. The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License. You may obtain a copy of the License at
 * <p>
 * http://www.apache.org/licenses/LICENSE-2.0
 * <p>
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied. See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package com.streamxhub.streamx.test.flink.scala.datastream

import com.streamxhub.streamx.flink.core.scala.FlinkStreaming
import com.streamxhub.streamx.flink.core.scala.source.KafkaSource
import org.apache.flink.api.java.utils.ParameterTool
import org.apache.flink.api.scala._
import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment

object KafkaSourceApp extends FlinkStreaming {

  /**
   * 用户可覆盖次方法...
   *
   */
  override def ready(): Unit = super.ready()


  override def config(env: StreamExecutionEnvironment,
                      parameter: ParameterTool): Unit = {

  }

  override def handle(): Unit = {

    //one topic
    KafkaSource().getDataStream[String]()
      .uid("kfkSource1")
      .name("kfkSource1")
      .map(x => {
        x.value
      })
      .print()

  }

}
